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Europe’s AI reckoning: compliance, compute and what comes next
The EU AI Act sets a new bar for business governance - plus a look at QaaS, and how to run an AI Ethics Committee that works.
If you’ve been with us for a while, you probably remember Una Spremuta dal Web. That version of the newsletter took a pause to reflect a deeper transformation: the evolution from SED Web to Babini Mazzari.
Above trends, beyond insights is not just a rebrand. It’s a shift in perspective: less noise, more signal.
We’ll also show up more often - not monthly, but when it matters.
EU AI Act: compliance becomes a strategic function
With full enforcement scheduled for August 2026, the EU’s Artificial Intelligence Act has moved from political milestone to operational countdown. The regulation, finalized in 2024 and now entering phased implementation, introduces a comprehensive framework that classifies AI systems by risk and imposes strict obligations on high-risk and general-purpose AI (GPAI) models.
These include transparency requirements, mandatory conformity assessments, technical documentation, human oversight protocols, and post-market monitoring. For GPAI, the rules extend to training disclosures, cybersecurity safeguards, and opt-out mechanisms for users - creating the world’s most detailed legal blueprint for AI accountability.
This is not just a legal shift - it’s a governance inflection point. As AI capabilities increasingly permeate core business functions, the AI Act forces organizations to reframe compliance as a strategic enabler, not a cost center.
C‑suites must establish internal registers of AI systems, embed legal review into AI procurement and deployment, and invest in explainability tooling. Crucially, this new regime raises the bar for supplier oversight and third-party integration. In a post-AI Act Europe, trust won’t be declared—it will have to be demonstrably built, documented, and regularly audited.
TREND TRACKER
Quantum-as-a-Service: the R&D playground of tomorrow
Quantum computing is moving beyond science labs and into enterprise strategy—thanks to Quantum-as-a-Service (QaaS) platforms from AWS Braket, IBM Quantum, and Azure Quantum. These services allow companies to experiment with hybrid quantum-classical algorithms for problems in logistics, chemistry, and machine learning, without owning physical quantum hardware. The recent addition of orchestration layers and AI-assisted development tools means teams can now simulate workloads, prototype quantum pipelines, and test optimization scenarios through familiar cloud environments.
For innovation leaders, QaaS represents a low-barrier, high-potential entry point into frontier computation. It enables first-mover positioning, especially in sectors like manufacturing, energy, and pharma, where complex systems modeling can yield outsized returns. And as the EU ramps up investment in sovereign compute (see InvestAI), early experience with quantum infrastructure will differentiate the enterprises that are truly future-ready—from those that simply wait and watch.
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Establishing an AI Ethics Committee: from intention to implementation
As AI governance becomes board-level business, an ethics committee is no longer a “nice to have.” It’s a structural necessity.
Build a cross-functional team: Include IT, legal, HR, risk management, and business stakeholders. Diversity of perspective reduces blind spots.
Define scope clearly: Mandate should cover data usage, model fairness, transparency, and alignment with business goals.
Operationalize processes: Use checklists, templated risk assessments, and decision logs to streamline reviews without blocking delivery.
Set review cadence: Align evaluations with major model changes, new data sources, and vendor onboarding.
Educate and communicate: Share outcomes, lessons, and guidelines internally to foster responsible innovation across the organization.
A well-run ethics committee transforms AI from a technical capability into a trust-based asset. The earlier it’s embedded, the stronger the foundation for scale.
WHO IS BABINI MAZZARI
Our Value Proposition
Babini Mazzari is the strategic IT partner for European companies looking to navigate digital transformation in a structured, pragmatic, and sustainable way.
We don’t just deliver technical solutions - we work as an extension of your internal team, helping you integrate systems, optimize processes, and lead change with clarity and competence.
Our approach is built on listening, transparency, and a strong results-driven culture. Whether you're scaling, modernizing, or rethinking your operating model, we support every client with the right tools, clear methodology, and long-term vision.
Above Technology. Beyond Solutions.
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